Method for optimizing demand-side time-of-use power price based on photovoltaic grid-connected uncertainty

Abstract

The invention discloses a method for optimizing demand-side time-of-use power price based on photovoltaic grid-connected uncertainty. The method comprises the following steps: obtaining the daily load data after distributed energy is connected, and determining load peak-valley periods according to a fuzzy membership function; determining the objective function and the constraint condition of the optimization method of the demand-side peak-valley time-of-use power price in an operation cycle, and creating a peak-valley time-of-use power price optimizing model; by using a chance constraint theory, converting power balance constraint into deterministic equality constraint; and obtaining optimal peak-valley time-of-use power price by using a particle swarm optimization algorithm. The method provided by the present invention, based on peak shaving and load shifting adjustment of a power distribution network demand side according to the peak-valley time-of-use price optimization model, takes account of the connection of distributed power. At the same time, the optimization method adopts the chance constraint theory to solve the problem of prediction uncertainty of distributed power grid-connected power, reduces the decision risk caused by uncertainty and improves the pricing rationality of peak-valley time-of-use price.

Description

technical field [0001] The invention relates to the technical field of electricity price optimization on the demand side, in particular to an optimization method for time-of-use electricity prices on the demand side based on the uncertainty of photovoltaic grid connection. Background technique [0002] With the development of the power industry, the scale of distributed energy access in the distribution network is also increasing, which will gradually transform the distribution network from traditional passive networks to active networks. This transformation also increasingly highlights the restrictive effect of the current functional structure and operation mode of the distribution network on large-scale distributed power grid integration. The active optimization of the demand side of the distribution network is an important measure to improve the ability of the distribution network to accommodate distributed power. In the traditional distribution network system, due to th...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a demand-side time-of-use electricity price optimization method based on the uncertainty of photovoltaic grid-connection, so as to solve the problem that existing methods cannot accurately predict the grid-connected power of distributed photovoltaic power sources, which leads to peak-valley time-of-use electricity prices. The problem of unreasonable pricing

Images